Multivariate analysis of diesel engine performance: Integrating PCA and TOPSIS for comprehensive evaluation and ranking of operating parameters
Padamveer Singh CHOUHAN, Manish JAIN, Kiran PAL
Abstract. This study presents a comprehensive analysis of diesel engine performance through the integration of Principal Component Analysis (PCA) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The aim is to evaluate and rank various operating parameters influencing diesel engine performance, including BTE, specific fuel consumption, and emissions levels. Through PCA, underlying patterns and relationships among these parameters are identified, reducing the dimensionality of the dataset while retaining essential information. Subsequently, TOPSIS methodology is employed to determine the relative importance of each parameter and rank diesel engine configurations or operating conditions based on their performance. By combining these techniques, this study provides a robust framework for decision-making in diesel engine optimization and design, offering insights into the most influential factors driving engine performance and emissions.
Keywords
Diesel Engine, Optimization, TOPSIS Methodology, Operating Parameters, Multivariate Analysis
Published online 3/1/2025, 13 pages
Copyright © 2025 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: Padamveer Singh CHOUHAN, Manish JAIN, Kiran PAL, Multivariate analysis of diesel engine performance: Integrating PCA and TOPSIS for comprehensive evaluation and ranking of operating parameters, Materials Research Proceedings, Vol. 49, pp 130-142, 2025
DOI: https://doi.org/10.21741/9781644903438-14
The article was published as article 14 of the book Mechanical Engineering for Sustainable Development
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
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